Triple
T695005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rihanna |
E13875
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Savage X Fenty |
E85475
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Savage X Fenty | Statement: [Rihanna, brand, Savage X Fenty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Savage X Fenty Context triple: [Rihanna, brand, Savage X Fenty]
-
A.
Savage X Fenty
chosen
Savage X Fenty is a lingerie and loungewear brand known for its inclusive sizing, diverse representation, and fashion-forward designs.
-
B.
Wyldstyle
Wyldstyle is a rebellious and resourceful Master Builder who plays a leading role in The Lego Movie’s fight against conformity and tyranny.
-
C.
Drunk in Love
"Drunk in Love" is a sultry, trap-influenced R&B song by Beyoncé featuring Jay-Z that became one of her signature hits following its release in 2013.
-
D.
Girl on Fire
"Girl on Fire" is a 2012 R&B and soul anthem by Alicia Keys that became widely known for its powerful vocals and empowering, inspirational message.
-
E.
Fenty
Fenty is the surname of global music and fashion icon Rihanna, which she also uses as the brand name for her beauty and fashion ventures.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a0c3f39c8190a3014df428817492 |
completed | March 1, 2026, 8:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a637514c9081909938d0801f071fea |
completed | March 3, 2026, 1:20 a.m. |
Created at: March 1, 2026, 7:36 p.m.